Vermont
VERMONT 2.0 provides interactive visual analytics that integrate sequence and structural parameters to analyze protein point mutations and interpret their impact on protein structure, physicochemical properties, and disease associations.
Key Features:
- Visual analytics methodology: Combines interactive visual tools to analyze the effects of protein point mutations.
- Sequence–structure integration: Integrates sequence and structural parameters for mutation impact assessment.
- Position-specific property analysis: Evaluates position-specific structural and physicochemical properties of residues.
- Dynamic visualizations: Provides dynamic visualizations to support interpretation of mutation effects.
- Experimental mutation examination: Enables visual examination of sets of experimentally characterized mutations.
- Damage prioritization: Assists in identifying and prioritizing mutations that are potentially damaging based on structural and physicochemical context.
- Parameter-based impact assessment: Interprets various parameters related to protein structure and chemistry to assess mutation impact.
Scientific Applications:
- Mutation effect interpretation: Analysis and interpretation of how individual point mutations influence protein structure and function.
- Variant prioritization: Prioritization of potentially damaging mutations for further experimental or computational study.
- Disease mechanism investigation: Study of how genetic variation contributes to disease mechanisms via structural and physicochemical changes.
- Dataset analysis of characterized variants: Visual analysis of datasets comprising experimentally characterized mutations.
Methodology:
Integration of sequence and structural parameters and analysis of position-specific structural and physicochemical properties, coupled with interactive visualizations to interpret mutation impact.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/5/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Fassio AV, Martins PM, Guimarães SdS, Junior SSA, Ribeiro VS, de Melo-Minardi RC, Silveira SdA. Vermont: a multi-perspective visual interactive platform for mutational analysis. BMC Bioinformatics. 2017;18(S10). doi:10.1186/s12859-017-1789-3. PMID:28929973. PMCID:PMC5606220.